An interactive approach to multiple criteria optimization with multiple decision-makers

1986 ◽  
Vol 33 (4) ◽  
pp. 589-602 ◽  
Author(s):  
Pekka Korhonen ◽  
Herbert Moskowitz ◽  
Jyrki Wallenius ◽  
Stanley Zionts
Keyword(s):  
Multiple Criteria ◽  
Decision Makers ◽  
Interactive Approach ◽  
Multiple Criteria Optimization ◽  
Multiple Decision Makers

Capital Budgeting with Multiple Criteria and Multiple Decision Makers: A Fuzzy Approach

2001 ◽  
Vol 5 (3) ◽  
pp. 139-148
Author(s):  
Yong Shi ◽  
◽  
Wikil Kwak ◽  
Heeseok Lee ◽  
Cheng-few Lee ◽  
...  
Keyword(s):  
Capital Budgeting ◽  
Solution Procedure ◽  
Multiple Criteria ◽  
Decision Makers ◽  
Optimal Selection ◽  
Fuzzy Approach ◽  
Strategic Investment ◽  
Multiple Decision Makers ◽  
Compromise Value ◽  
Selection Of

A capital budgeting model with multiple criteria and multiple decision makers (MCMDM) is more likely to provide realistic solutions than linear or goal programming models. This paper adopts a fuzzy approach to solve MCMDM capital budgeting problems. This approach is based on two fundamental human cognitive processes: (i) all decision makers who are involved in the capital budgeting problem have goal setting and compromise behavior for seeking multiple criteria, and (ii) each decision maker has a preference for the budget availability level. A solution procedure is proposed to systematically identify a fuzzy optimal selection of possible projects that can not only reach the best compromise value for the multiple criteria, but also use the best budget availability level according to the multiple decision makers’ preferences. The optimal selection can help the firm make a realistic decision regarding its strategic investment. A comparison study of the fuzzy approach with other approaches shows the advantages of using the fuzzy approach.

A Weighted Least-Square Dissimilarity Approach for Multiple Criteria ABC Inventory Classification

2018 ◽  
Vol 35 (04) ◽  
pp. 1850025 ◽  
Author(s):  
Sisi Wu ◽  
Yelin Fu ◽  
K. K. Lai ◽  
W. K. John Leung
Keyword(s):  
Classification Problem ◽  
Multiple Criteria ◽  
Least Square ◽  
Decision Makers ◽  
Group Consensus ◽  
Multiple Decision Makers ◽  
Weighted Least Square ◽  
Common Weights ◽  
The Common ◽  
Criteria Importance

The present paper develops a weighted least-square dissimilarity approach to address the Multiple Criteria ABC inventory classification problem, when the different criteria ranking makes impossible to achieve a group consensus. The proposed approach effectively eliminates drawbacks regarding subjective judgements of multiple decision makers on the criteria importance, and comprehensively aggregates all rankings of the criteria importance to provide a more reasonable and effective classification mechanism. The common weights associated with all rankings are determined. An illustrative example is presented to compare the performance of our approach with the existing studies.

Linear Quadratic Nash Game of Stochastic Singular Time-Delay Systems with Multiple Decision Makers

2015 ◽  
Vol 3 (5) ◽  
pp. 472-480
Author(s):  
Huainian Zhu ◽  
Guangyu Zhang ◽  
Chengke Zhang ◽  
Ying Zhu ◽  
Haiying Zhou
Keyword(s):  
Time Delay ◽  
Decision Makers ◽  
Delay Systems ◽  
Linear Matrix ◽  
Time Delay Systems ◽  
Linear Quadratic ◽  
Nash Game ◽  
Multiple Decision Makers ◽  
Nash Strategies ◽  
Singular Time

AbstractThis paper discusses linear quadratic Nash game of stochastic singular time-delay systems governed by Itô’s differential equation. Sufficient condition for the existence of Nash strategies is given by means of linear matrix inequality for the first time. Moreover, in order to demonstrate the usefulness of the proposed theory, stochastic H2∕H∞control with multiple decision makers is discussed as an immediate application.

Method for Selecting Storage Enterprises Based on IFHA

2015 ◽  
Vol 713-715 ◽  
pp. 1769-1772
Author(s):  
Jie Wu ◽  
Lei Na Zheng ◽  
Tie Jun Pan
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Makers ◽  
Decision Problems ◽  
Decision Making Process ◽  
Final Decision ◽  
Multiple Decision Makers ◽  
Intuitionistic Fuzzy ◽  
Averaging Operator

In order to reflect the decision-making more scientific and democratic, modern decision problems often require the participation of multiple decision makers. In group decision making process,require the use of intuitionistic fuzzy hybrid averaging operator (IFHA) to get the final decision result.

Sign in / Sign up

Export Citation Format

Share Document